Get in Touch

Course Outline

Introduction

Setting up the IDE (Integrated Development Environment)

  • RStudio

R Programming Fundamentals

  • R objects: vectors, matrices, arrays, data frames, and lists
  • Flow control: branching, looping, and logical testing

Accessing Data with R

  • Reading and writing CSV files
  • Accessing data in SQL databases

Visualizing Data with R

  • Plotting techniques in R

Analyzing Data with R

  • Manipulating data frames
  • Descriptive statistics

Inference and Time Series Analysis

  • Analyzing time series data in financial markets
  • Volatility modeling for high-frequency financial data

Simulating Asset Price Trajectories

  • Monte Carlo simulation

Asset Allocation and Portfolio Optimization

  • Executing capital allocation, asset allocation, and risk assessment
  • Regression analysis

Risk Analysis and Investment Performance

  • Defining and solving portfolio optimization problems
  • VaR and ES

Fixed-Income Analysis and Option Pricing

  • Conducting fixed-income analysis and option pricing

Deploying Your R Application to Production

  • Integrating your application with Excel and other web-based applications

Application Performance

  • Optimizing your application
  • R multiprocessing

Troubleshooting

Closing Remarks

Requirements

  • Knowledge of finance concepts (such as securities and derivatives)
  • A strong foundation in mathematics
  • Programming experience in any language is beneficial but not mandatory
 28 Hours

Number of participants


Price per participant

Testimonials (5)

Upcoming Courses

Related Categories